Using Machine Learning to Identify Metabolomic Signatures of Pediatric Chronic Kidney Disease Etiology.

Journal: Journal of the American Society of Nephrology : JASN
PMID:

Abstract

BACKGROUND: Untargeted plasma metabolomic profiling combined with machine learning (ML) may lead to discovery of metabolic profiles that inform our understanding of pediatric CKD causes. We sought to identify metabolomic signatures in pediatric CKD based on diagnosis: FSGS, obstructive uropathy (OU), aplasia/dysplasia/hypoplasia (A/D/H), and reflux nephropathy (RN).

Authors

  • Arthur M Lee
    Division of Nephrology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
  • Jian Hu
    Department of Chemistry, Michigan State University, MI, 48824, USA.
  • Yunwen Xu
    Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore Maryland.
  • Alison G Abraham
    School of Public Health, University of Colorado Denver, Denver, Colorado.
  • Rui Xiao
    Beijing Institute of Radiation Medicine, Beijing, 100850, PR China; Beijing Key Laboratory of New Molecular Diagnosis Technologies for Infectious Diseases, Beijing, 100850, PR China. Electronic address: ruixiao203@sina.com.
  • Josef Coresh
    Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore Maryland.
  • Casey Rebholz
    Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore Maryland.
  • Jingsha Chen
    Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore Maryland.
  • Eugene P Rhee
    Department of Medicine, Massachusetts General Hospital, Harvard University, Boston, Massachusetts.
  • Harold I Feldman
    Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
  • Vasan S Ramachandran
    Department of Medicine, Boston University School of Medicine, Boston University School of Public Health, Boston University Center for Computing and Data Science, Boston, Massachusetts.
  • Paul L Kimmel
    National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland.
  • Bradley A Warady
    Department of Pediatrics, Children's Mercy Hospital, University of Missouri-Kansas City School of Medicine, Kansas City, Missouri.
  • Susan L Furth
    Department of Pediatrics, Division of Pediatric Nephrology, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, United States.
  • Michelle R Denburg
    Division of Nephrology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.